EXIN BCS Generative Artificial Intelligence Award
Artificial Intelligence (AI)
COURSE OVERVIEW
Generative AI is rapidly becoming one of the most exciting and influential technologies today. It can create realistic digital art, write sophisticated text, and enhance various business processes. Generative AI represents a major shift in organizations: how they operate, interact with customers, and develop new products and services. As more organizations adopt AI solutions, understanding how generative AI works and how to use it, is essential for individuals and organizations.
The EXIN BCS Generative Artificial Intelligence Award provides a solid introduction to this advanced technology. This certification is an ideal introduction for anybody wishing to understand the basics of using generative AI, its future potential, and the associated ethical and legal concerns.
Duration: 2 days / 16 hours
Delivery Method: Classroom-based, Virtual Instructor Led Training
KEY BENEFITS
· Covers core AI concepts, including how AI models generate content, their applications, and real-world use. cases.
· Learn how to prompt AI effectively, validate AI-generated content, and mitigate AI risks for professional use.
· Understand AI governance, data privacy, copyright concerns, and how to use AI responsibly in compliance with global regulations.
· Requires only 28 study hours and an exam duration of 30 minutes, making it a time-efficient way to build AI expertise.
· Earn a certification backed by two leading IT and AI accreditation bodies, boosting career credibility.
· Get an accessible entry point into Generative AI, making it suitable for professionals without prior AI or coding experience.
WHO IS THIS CERTIFICATION FOR?
· Content creators
· Designers
· Developers
· Project managers
· Product managers
· Copywriters
· Marketers
· Chief information officers
· Change practitioners
· Business consultants
· Leaders and C-suite
· Anyone looking to future-proof their skill set
CONCEPTS CONTENT
· AI & Generative AI Fundamentals – Key concepts, evolution, and impact.
· How AI Models Work – Machine learning, deep learning & generative models.
· Applications in Business – AI-powered automation & content generation.
· Ethical & Legal Considerations – Responsible AI, regulations & biases.
· Future of AI – Trends, challenges & career opportunities.
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